Pauli error estimation via Population Recovery

Motivated by estimation of quantum noise models, we study the problem of learning a Pauli channel, or more generally the Pauli error rates of an arbitrary channel. By employing a novel reduction to the "Population Recovery" problem, we give an extremely simple algorithm that learns the Pau...

Full description

Bibliographic Details
Main Authors: Steven T. Flammia, Ryan O'Donnell
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2021-09-01
Series:Quantum
Online Access:https://quantum-journal.org/papers/q-2021-09-23-549/pdf/